Adaptive coherence imaging system with time-domain filtering

Summary form only given. For some sensing applications, even the seemingly fundamental process of breaking a spectrum into frequency components may not be the best way to look for features in the spectrum. We have demonstrated a coherent imaging architecture, with inherent decomposition of the image into coherent and incoherent components. The decomposition at a very early stage of the physical measurement process means that 1) minimal data analysis is needed, and 2) the system never needs to have the resolution that would conventionally be required to resolve the spectral features of interest. These advantages translate into relaxed requirements on the hardware design and faster data collection, and will aid the design and expand the applications of inexpensive, mobile hyperspectral and multispectral imaging systems.